Allan De Freitas

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Target tracking faces the challenge in coping with large volumes of data which requires efficient methods for real time applications. The complexity considered in this paper is when there is a large number of measurements which are required to be processed at each time step. Sequential Markov chain Monte Carlo (MCMC) has been shown to be a promising(More)
Target tracking in distributed networks faces the challenge in coping with large volumes of distributed data which requires efficient methods for real time applications with minimal communication overhead. The complexity considered in this paper is when each sensor in a distributed network observes a large number of measurements which are all required to be(More)
Advances in sensor systems have resulted in the availability of high resolution sensors, capable of generating massive amounts of data. For complex systems to run online, the primary focus is on computationally efficient filters for the estimation of latent states related to the data. In this paper a novel method for efficient state estimation with the(More)
A target of interest measured by a high range-resolution radar sensor may be modeled by multiple dominant points of reflections referred to as scatterers. In this paper a state space model governed by static motion parameters is used to represent the motion and measurements of the scatterers moving in two dimensions. A dynamic Bayesian method, based on a(More)
The experiment was conducted in a greenhouse at the Universidade Federal do Espirito Santo, in Alegre, Espirito Santo state, Brazil, to evaluate the broccoli production depending on the seed production system and organic and mineral fertilization. Seeds of the broccoli cultivar Ramoso Piracicaba were originated from lots of seed obtained in an organic and(More)
This paper focuses on tracking large groups of objects, such as crowds of pedestrians. Large groups generate multiple measurements with uncertain origin. Additionally, often the sensor noise characteristics are unknown but bounded within known intervals. Hence, these two types of uncertainties call for flexible techniques capable of offering a solution in(More)
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